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PID controller tuning plays a very important role in the proper functioning of the plant in which the controller is incorporated. A modification to the already existing algorithms like the differential evolution (DE), particle swarm optimization (PSO) and teaching-learning-based optimization (TLBO) algorithms is done in this paper. The modification is done in the initialization method and is called...
Synchronous generator excitation control system is one of the most important parts of power system control. And as PID control is one of the first developed and the most widely used control schemes in excitation system, its parameters tuning problem has been highly concerned. Since MATLAB genetic algorithm toolbox has the characteristics of strong robustness and efficient optimization, this paper...
This paper explores a comparative performance study of two new classes of particle swarm optimization (PSO) techniques and binary coded genetic algorithm (GA) applied to the optimization of proportional-integral-derivative (PID) gains of PID-controlled automatic voltage regulator (AVR). The two novel swarm optimization techniques are velocity update relaxation particle swarm optimization (VURPSO)...
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